LUCoS: Latent Unsupervised Context Selection for Tabular Foundation Models 事件

LUCoS: Latent Unsupervised Context Selection for Tabular Foundation Models arXiv:2605.27254v1 Announce Type: cross Abstract: Selecting which instances to label is a key challenge in low-label tabular learning. For recent Tabular Foundation Models such as TabPFN, context selection directly determines predictive performance. Supervised oracle experiments show that carefully chosen labeled context sets can strongly outperform random selection under the same labeling budget. However, the cold-start